What you will learn

• Analyse adversarial attack vectors targeting ML systems including poisoning, model stealing, & backdoor exploits, and assess their operational impact

• Design & implement layered technical defences using differential privacy, guardrail protection, & secure algorithm design to maintain model integrity

• Plan and conduct AI security testing using red, purple, and blue teaming approaches to validate ML model robustness under adversarial conditions

• Evaluate responsible AI governance frameworks and regulatory requirements to ensure AI systems are ethical, fair, and compliant